Publications

Found 4136 results
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Z
Zhang, C. Micahel, & Paxson V. (2011).  Detecting and Analyzing Automated Activity on Twitter.
Zhang, L., Shenker S., & Clark D. D. (1991).  Observations on the Dynamics of a Congestion Control Algorithm: The Effects of Two-Way Traffic. Proceedings of the ACM SIGCOMM '91 Conference on Communications Architecture & Protocols. 133-147.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,
Zhang, N., Farrell R., & Darrell T. (2012).  Pose Pooling Kernels for Sub-Category Recognition. 3665-3672.
Zhang, J., & Morgan N. (1990).  Stochastic Model-Based Image Segmentation Using Markov Random Fields and Multi-Layer Perceptrons.
Zhang, Y., & Paxson V. (2000).  Detecting Stepping Stones. Proceedings of the Ninth USENIX Security Symposium.
Zhang, H., & Ferrari D. (1992).  Rate-Controlled Static Priority Queueing.
Zhang, Y., & Paxson V. (2000).  Detecting Backdoors. Proceedings of the Ninth USENIX Security Symposium.
Zhang, H., & Knightly E. W. (1994).  Comparison of Rate-Controlled Static Priority and Stop-and-Go.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Zhang, N., Donahue J., Girshick R., & Darrell T. (2014).  Part-Based R-CNNs for Fine-Grained Category Detection.
Zhang, Y., Duffield N., Paxson V., & Shenker S. (2001).  On the Constancy of Internet Path Properties. Proceedings of the 1st ACM SIGCOMM Internet Measurement Workshop (IMW '01). 197-211.
Zhang, M., Karp B., Floyd S., & Peterson L. (2002).  Improving TCP's Performance Under Reordering with DSACK.
Zeiler, S., Meutzner H., Abdelaziz A. Hussen, & Kolossa D. (2016).  Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement. Proceedings of Interspeech 2016.
Zaslavsky, N., Regier T., Tishby N., & Kemp C. (In Press).  Semantic categories of artifacts and animals reflect efficient coding. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Garvin K., Kemp C., Tishby N., & Regier T. (In Press).  Evolution and efficiency in color naming: The case of Nafaanra. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Kemp C., Tishby N., & Regier T. (2019).  Communicative need in colour naming. Cognitive Neuropsychology.
Zarchy, D., Mittal R., Schapira M., & Shenker S. (2019).   Axiomatizing Congestion Control. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 3(2), 
Zamir, O.., Etzioni O., Madani O.., & Karp R. M. (1997).  Fast and Intuitive Clustering of Web Documents. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 287-290.
Zaitlen, N., Kang H. Min, Feolo M. L., Sherry S. T., Halperin E., & Eskin E. (2005).  Inference and Analysis of Haplotypes from Combined Genotyping Studies Deposited in dbSNP. Genome Research. 15(11), 1594-1600.
Zaitlen, N., Pasaniuc B., Gur T., Ziv E., & Halperin E. (2010).  Leveraging Genetic Variability Across Populations for the Identification of Causal Variants. The American Journal of Human Genetics. 86(1), 23-33.
Zaitlen, N., Kang H. Min, Eskin E., & Halperin E. (2007).  Leveraging the HapMap Correlation Structure in Association Studies. American Journal of Human Genetics. 80, 683-691.
Zaharia, M., Das T., Li H., Hunter T., Shenker S., & Stoica I. (2012).  Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing.
Zaharia, M., Das T., Li H., Shenker S., & Stoica I. (2012).  Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. 1-6.
Zaharia, M., Xin R. S., Wendell P., Das T., Armbrust M., Dave A., et al. (2016).  Apache Spark: a unified engine for big data processing. Communications of the ACM. 59(11), 56-65.

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